memory-curator

Automate daily activity capture and session preservation through local scripts and reference files.

Updated May 25, 2026

Search Tags:#memory management #knowledge extraction #session preservation #agent logging #efficiency improvement

Ready to run

npx skills add https://github.com/ngquaanghuy/Crypto --skill memory-curator-ngquaanghuy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-curator
Source: https://github.com/ngquaanghuy/Crypto/tree/main/.agents/skills/memory-curator
Command: npx skills add https://github.com/ngquaanghuy/Crypto --skill memory-curator-ngquaanghuy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Memory Curator Skill unit tackles the challenge of agent memory management by facilitating daily logging, session preservation, and knowledge extraction.

Core Features & Use Cases

Daily Logging: Capture key activities, decisions, and learnings throughout the workday.
Session Preservation: Ensure important context is retained before session changes or resets.
Knowledge Extraction: Systematically organize valuable insights for long-term retention and continuous improvement.
Use Case: Suppose an agent needs to revisit the resolution of a past technical challenge. With Memory Curator, they can quickly search past logs and sessions to retrieve the relevant information.

Quick Start

Log your daily activities using daily_log.py.

Frequently Asked Questions about memory-curator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I preserve agent session context before a reset?▼

Session preservation involves capturing key activities and decisions before resets to ensure important context is retained. Memory Curator automates this retention process, allowing administrative agents to systematically save session records locally for later retrieval.

What is the best way to extract knowledge from agent session logs?▼

Knowledge extraction from session logs systematically organizes valuable insights for long-term retention. Memory Curator leverages local reference files to process session records, enabling continuous improvement by structuring captured data into searchable knowledge.

How do I log daily agent activities for memory management?▼

Daily logging captures key activities, decisions, and learnings throughout an agent's workday. You can record daily activities using the daily_log.py script, which automates the capture process to maintain an accurate historical log.

Can I retrieve past technical resolutions from local agent logs?▼

Retrieving past technical resolutions requires searching previously captured logs and sessions. Memory Curator stores these records locally, enabling agents to quickly search historical activity data and retrieve relevant information about past challenges.

Do I need external dependencies to automate agent logging and knowledge extraction?▼

No external dependencies are required to automate agent logging and knowledge extraction. Memory Curator relies entirely on local scripting and reference files to manage logs, making it self-contained for administrative agents.

When should I use systematic memory management for administrative agents?▼

Systematic memory management is needed when agents must retain context across session changes or retrieve past learnings. It solves the challenge of context loss by capturing daily activities and extracting knowledge for continuous improvement.